Yashika Gupta, Bhavya Sharma and Chakresh Kumar Jain* Pages 1 - 19 ( 19 )
The gut microbiome, a complex and diverse microbial ecosystem, plays a pivotal role in maintaining host health by regulating physiological balance and preventing disease. Probiotics, live beneficial microorganisms, have shown potential in modulating the gut microbiota through mechanisms such as competitive exclusion of pathogens, enhancement of mucosal immunity, and regulation of microbial metabolism. Recent advancements in membrane simulations offer a novel approach to studying these interactions at the molecular level. By employing molecular dynamics (MD) and coarse-grained models, these simulations provide insights into the structural and functional dynamics of bacterial membranes and their interactions with probiotics. This approach enables a deeper understanding of key processes, such as microbial metabolite transport, membrane permeability, and host response modulation, which are critical for maintaining gut homeostasis. Additionally, membrane simulations facilitate the exploration of microbial communication pathways, enhancing our knowledge of the molecular mechanisms underlying the beneficial effects of probiotics. As computational tools evolve, integrating membrane simulations with experimental approaches can accelerate the discovery of targeted probiotic therapies aimed at restoring microbial balance and optimizing gut health. This review underscores the significance of membrane simulations in advancing gut microbiome research, suggesting that future studies should focus on refining these computational models to bridge the gap between theoretical predictions and clinical applications. Through a synergistic approach, researchers can enhance the therapeutic potential of probiotics, leading to improved strategies for managing gut-related disorders with insightful knowledge of their interactions.
Gut microbiome, probiotics, membrane simulations, molecular dynamics, microbial interactions, microbial metabolite transport, gut health, host-microbe interactions, computational biology, immune modulation.